DataRobot and SAP Companion to Ship Customized AI Options for the Enterprise

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In the present day, SAP and DataRobot introduced a joint partnership to allow clients join core SAP software program, containing mission-critical enterprise information, with the superior Machine Studying capabilities of DataRobot to make extra clever enterprise predictions with superior analytics. Each fashionable enterprise has a singular set of enterprise information collected as a part of their gross sales, operations, and administration processes. Leveraging DataRobot’s JDBC connectors, enterprise groups can work collectively to coach ML fashions on their information residing in SAP HANA Cloud and SAP Knowledge Warehouse Cloud, in addition to have an possibility to complement it with information from exterior information sources. After a customized ML mannequin is ready, customers can subsequently deploy these ML fashions to SAP AI core utilizing automated model-deployment pipelines, and proceed monitoring these fashions in manufacturing for accuracy and efficiency.

Consequently, enterprises can now get highly effective insights and predictive analytics from their enterprise information by integrating DataRobot-trained machine studying fashions into their SAP-specific enterprise processes and purposes, whereas bringing information science and analytics groups and enterprise customers nearer collectively for higher outcomes.

Extra particulars in regards to the joint capabilities have been shared on the March 8th SAP Knowledge Unleashed digital occasion and moreover shall be shared at From Imaginative and prescient to Worth, Creating Impression with AI, the March 16th DataRobot digital occasion. Tune in to be taught extra. Registration is free for each occasions.

SAP AI Options: Making Enterprise Purposes Extra Clever

AI is on the coronary heart of the SAP technique to assist clients turn into clever, sustainable enterprises. With SAP AI options corresponding to SAP AI Core, AI Enterprise Providers and SAP HANA PAL, clients can deliver predictive intelligence into their enterprise processes via ready-to-use, pre-trained AI capabilities in SAP purposes. 

Enterprises can lengthen AI capabilities to satisfy their particular wants, utilizing SAP Enterprise Know-how Platform. They’ll additionally guarantee belief and reliability by utilizing AI capabilities which might be constructed on a stringent ethics coverage and information privateness requirements that allow accountable use of AI with full transparency and compliance.

This partnership between the 2 brings collectively DataRobot’s multimodal machine studying capabilities with SAP’s in depth enterprise information and processes to create business-centric ML options.

Nishant Thacker

VP, Answer Administration, SAP

DataRobot AI: Full AI Lifecycle Administration

The DataRobot AI Platform is an open, full AI lifecycle platform, leveraging machine studying that has broad interoperability, end-to-end capabilities for ML Experimentation and ML Manufacturing, and could be deployed on-premises or in any cloud infrastructure. 

DataRobot improves collaboration amongst AI groups in order that they will uncover and show the worth of fashions in enterprise use instances via experimentation after which get fashions into manufacturing sooner to enhance how they run, develop, and optimize their enterprise. Moreover, DataRobot information scientists and help groups have a confirmed file of success working with 1000’s of consumers on tens of 1000’s of AI use instances throughout a variety of industries.

DataRobot integration with SAP Datasphere permits clients to have fast entry to their most up to date, trusted, and ruled information belongings—with enterprise context and logic intact.

venky 1
Venky Veeraraghavan

Chief Product Officer, DataRobot

Construct Customized ML Fashions Combining Multimodal SAP and non-SAP Enterprise Knowledge

Each enterprise has a singular information panorama and enterprise processes that it desires to extract most worth out of with out inflicting an excessive amount of disruption to its present tech stack. So in an effort to get most worth from AI, it must construct machine studying fashions which might be distinctive to every of its enterprise usecase.

Right here, it turns into essential for the corporate to leverage an AI answer that may combine with their present workflows to make sure frictionless adoption by all stakeholders concerned. 

With DataRobot’s built-in functionality to connect with SAP HANA, customers can rapidly construct customized AI fashions, utilizing both the DataRobot consumer interface or DataRobot Notebooks for code-first information scientists. SAP clients may also ingest multimodal exterior information from different non-SAP sources, export DataRobot fashions into SAP AI Core via model-deployment pipelines, and use their predictions in SAP enterprise purposes, in addition to constantly monitor and retrain fashions.

This joint answer thus helps enterprises get much more worth out of their present SAP and non-SAP enterprise information by making use of machine studying with broad interoperability throughout present machine studying libraries and frameworks, and end-to-end capabilities for ML Experimentation and ML Manufacturing.

Enterprises can speed up collaborative experimentation with the pliability to customise fashions throughout open-source frameworks and manufacturing environments via a superior consumer expertise, a decade of DataRobot’s information science experience, and help for numerous organizational use instances. Utilizing DataRobot, corporations can monitor their fashions in manufacturing for accuracy and information drift, along with retraining them proactively. 

With DataRobot and SAP,  joint clients can:

Iconsleverage highly effective machine studying on prime of SAP Datasphere and produce it instantly into their enterprise information cloth – on whichever cloud platform it resides

predict member or employer disenrollment facilitate collaborations between enterprise groups and information science groups to create correct and sturdy ML fashions and, extra importantly, combine predictions instantly into SAP enterprise purposes via SAP AI Core

develop gear work code monitor screen monitor mannequin efficiency, no matter the place it’s deployed, utilizing DataRobot MLOps

Bias and Fairnesspredict search find detectdetect and mitigate bias for extra accountable use of ML fashions

SAP and DataRobot allow clients to attach core SAP software program with DataRobot superior machine studying capabilities. The result’s extra clever enterprise predictions with superior analytics.

Get Began with Enterprise-Centric Machine Studying 

We’re eager to collaborate with our clients and get suggestions on our joint product roadmap because it evolves. 

You possibly can be taught extra about immediately’s DataRobot and SAP bulletins right here:

DataRobot Launch Occasion

From Imaginative and prescient to Worth. Creating Impression with AI

Thursday, March 16, 2023


Register Now

Concerning the writer

Ksenia Chumachenko
Ksenia Chumachenko

Senior Director, Enterprise Improvement & Alliances, DataRobot

Ksenia Chumachenko is a Senior Director of Alliances and Enterprise Improvement at DataRobot. She leads Cloud and Know-how Alliances world group, serving to purchasers get worth from AI via a wider Cloud and Knowledge ecosystem.

Ksenia has greater than 20 years of expertise delivering technological options and growing associate ecosystems throughout product startups, ISVs, and system integrators. She has ardour for taking partnerships to the following stage through collaboration, creativity, data-driven method, and group nurturing with profitable expertise in establishing associate channel and constructing groups in pre- and post-IPO information startups.

Ksenia holds an MBA in International Enterprise and Entrepreneurship from NYU Stern Faculty of Enterprise, and B.S. in Pc Science and Arithmetic from NYU Courant. In her free time she spends time within the San Francisco Bay Space along with her household; they get pleasure from mountain climbing, cooking and going to cultural occasions collectively.


Meet Ksenia Chumachenko


Brian Bell Jr.
Brian Bell Jr.

Senior Director, MLOps DataRobot

Brian Bell Jr. leads Product Administration for MLOps at DataRobot. He has a background in Engineering, the place he has led growth of DataRobot Knowledge Ingest and ML Engineering infrastructure. Beforehand he has had positions with the NASA Jet Propulsion Lab, as a researcher in Machine Studying with MIT’s Evolutionary Design and Optimization Group, and as an information analyst in fintech. He studied Pc Science and Synthetic Intelligence at MIT.


Meet Brian Bell Jr.


Anurag Sakhamuri
Anurag Sakhamuri

AI Success Supervisor, DataRobot

Anurag Sakhamuri is an AI Skilled Providers Supervisor. In his position, he helps his clients implement and combine machine studying (ML) applied sciences to drive enterprise worth. He’s an engineer and MBA by training and spent a very good a part of his profession serving to remodel how enterprises function utilizing the newest applied sciences. He’s obsessed with serving to clients (1) implement AI and ML applied sciences into their services and products, (2) automate and remodel present enterprise processes and (3) apply information engineering superior analytics to allow data-driven resolution making. He has an undergraduate diploma from Rutgers and an MBA from Kellogg – Faculty of Administration. Past his skilled credentials, Anurag is an avid sports activities fanatic and enjoys enjoying sports activities. He’s additionally a traveler, having visited a number of nations the world over, and loves exploring new eating places in New York Metropolis.


Meet Anurag Sakhamuri

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